{"id":"W2162349281","doi":"10.1109/ccece.1999.804973","title":"Implementation of fully distributed inference in multiagent MSBN systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Inference; Computer science; Distributed computing; Distributed Computing Environment; Coherence (philosophical gambling strategy); Interpretation (philosophy); Artificial intelligence; Bayesian inference; Multi-agent system; Bayesian probability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003038793,0.00008402929,0.0001281879,0.00007304458,0.00002285386,0.00005683773,0.0002867931,0.00003625908,0.00002685521],"category_scores_gemma":[0.00004420184,0.00007498297,0.00002279624,0.0003321449,0.00001465636,0.0002176683,0.0000447123,0.00006330109,0.00001249471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003636608,"about_ca_system_score_gemma":0.0001059188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008636719,"about_ca_topic_score_gemma":0.0001477164,"domain_scores_codex":[0.9990181,0.00009075196,0.0003275459,0.0002083043,0.0001690028,0.0001862653],"domain_scores_gemma":[0.9994349,0.00006839689,0.00008215864,0.0002701083,0.00009317908,0.00005127069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002076811,0.0001027512,0.03094669,0.00004218983,0.00001039817,0.000006140335,0.0006546327,0.008862978,0.002944146,0.9439604,0.000162158,0.01230543],"study_design_scores_gemma":[0.001955228,0.0003107569,0.0405519,0.0001378866,0.00001046031,0.00001301291,0.001841863,0.8915091,0.05167281,0.01029061,0.0010084,0.0006980388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08023626,0.00005629061,0.9187524,0.00005679412,0.0001277464,0.000120637,0.000004914185,0.00004340207,0.000601516],"genre_scores_gemma":[0.9889841,0.00001120198,0.01092136,0.00002838642,0.00000369136,0.0000159412,0.000004425308,0.000002476858,0.00002842285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9336698,"threshold_uncertainty_score":0.3057717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056192514209038,"score_gpt":0.3126269224891947,"score_spread":0.2820649973471043,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}